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‘deep learning’ Interview Questions

What is the “dead ReLU” problem and, why is it an issue in Neural Network training?

Explain the Transformer Architecture

Why is Zero-centered output preferred for an activation function?

What do you mean by vanishing gradient and why is that a problem?

What do you mean by saturation in neural network training? Discuss the problems associated with saturation

What is an activation function? What are the different types of activation functions? Discuss their pros and cons

What are the key hyper-parameters of a neural network model?

Describe briefly the training process of a Neural Network model

What are some ways to address the vanishing/exploding gradient issue?

What is the vanishing/exploding gradient problem?

What are some options for making Backpropagation more efficient?

What are the advantages and disadvantages of Deep Learning?

How does Deep Learning methods compare with traditional Machine Learning methods?

How does Machine Learning differ from Classical Statistics and Deep Learning?

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